Be part of something revolutionary At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform - the o9 Digital Brain - we integrate global enterprises' siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn't stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we'll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. About the role… We are expanding our highly skilled team and actively seeking a proficient, talented, and ambitious Data Scientist to strengthen our demand planning team within o9. Your role will be pivotal in comprehending forecasting challenges faced by customers, particularly in Retail and CPG sectors, designing tailored solutions, creating and implementing models, validating results, and effectively communicating complex ideas to both clients and internal teams. What you'll do for us… Use latest advancements in AI/ML to solve business problems Apply a variety of forecasting techniques (statistical time series models and machine learning models) to solve challenging time series forecasting problems Fine-tune models for demand sensing/forecasting, anomaly detection, history correction and outlier detection, pricing modeling, explainability of results (Explainable AI), etc. Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Apply common business metrics (Forecast Accuracy, Bias, MAPE) and generate new ones as needed Conclude and present results highlighting key insights and findings to customers and internal teams Work collaboratively with Clients, Project Management, Solution Architects, Consultants, Data Engineers and Product Management to ensure successful delivery of o9 projects What you'll have 2 years of commercial data science experience in Demand Planning, Predictive Analysis, Demand Forecasting, Retail forecasting, or similar with time series use-cases Deep Knowledge of statistical and machine learning algorithms, identifying and collecting relevant input data, feature engineering, tuning, and testing Strong and independent mind to analyze and distill key insights from customer datasets to come up with the right methodology (level of forecasting, slicing datasets for localized and global models, parameter fine-tuning, feature engineering) Strong experience in quickly analyzing input data to assess quality and usability of input data to be fed to machine learning models Exposure to high paced experimentation including feature engineering, parameter tuning and optimization of machine learning models Education: Master's in Computer Science, Mathematics, Statistics, Economics, Econometrics, Engineering, or related field Tools: Python, Pyspark, Machine Learning libraries, SQL, building models in platforms like Power BI or Tableau Characteristics: Strong presentation and communications skills We really value team spirit: Transparency and frequent communication is key. At o9, This is not limited by hierarchy, distance, or function. Characteristics: You thrive in a fast paced, challenging environment, where this is much white space and problem solving is at the heart of what drives your analysis We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function Preferred Experience… Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience in implementing planning applications will be a plus What we'll do for you Competitive salary Tech tools: Complementary Mac or PC laptop. Enjoy yourself: Unlimited paid time off. Stock options to eligible candidates High growth organization - very strong entrepreneurial culture and no corporate politics Support network: Work with a team you can learn from and every day. Diversity: We pride ourselves on our international working environment Social: Fun after-work activities like Friday Socials. If you're in the office, feel free to join these events in person. Food and drink: Enjoy healthy snacks, fresh fruit, teas and coffees on us. Work Life Balance: https://youtu.be/IHSZeUPATBA?featureshared Feel part of A team: https://youtu.be/QbjtgaCyhes?featureshared Impact the planet positively: https://www.youtube.com/watch?v-ylSC6LNZy0 Employee Testimonial ''What I like most about o9 is that I get to work with some of the smartest people in the industry. Every day is a new opportunity to learn and grow. At the same time everyone is friendly, helpful and fun to be around'' How the process works Apply by clicking the apply button. You'll be contacted by our recruiter, who'll fill you in on all things o9, give you some background about the role and get to know you. They'll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with the Hiring Manager and up to 2 other o9 leaders for 45 minutes each. The recruiter will contact you after the interviews to let you know if we'd like to progress your application. Your application has progressed Meet with a new panel for a final round of interviews for 30 minutes each. Our recruiter will let you know if you're the successful candidate. Good luck More about us… With the latest increase in our valuation from $1.1B to $3.7B, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks, and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Milan, Munich, Bangalore, Tokyo, Seoul, Sydney, Sao Paulo and Toronto. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law